AIMC Topic: Datasets as Topic

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Machine learning performance in a microbial molecular autopsy context: A cross-sectional postmortem human population study.

PloS one Apr 15, 2019
BACKGROUND: The postmortem microbiome can provide valuable information to a death investigation and to the human health of the once living. Microbiome sequencing produces, in general, large multi-dimensional datasets that can be difficult to analyze ...
Adult Microbiota Aged Middle Aged Cross-Sectional Studies Autopsy Male Aged, 80 and over High-Throughput Nucleotide Sequencing Adolescent Young Adult DNA, Bacterial Time Factors Humans Postmortem Changes RNA, Ribosomal, 16S Machine Learning Datasets as Topic Sequence Analysis, DNA Female DNA, Archaeal
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Applying deep matching networks to Chinese medical question answering: a study and a dataset.

BMC medical informatics and decision making Apr 9, 2019
BACKGROUND: Medical and clinical question answering (QA) is highly concerned by researchers recently. Though there are remarkable advances in this field, the development in Chinese medical domain is relatively backward. It can be attributed to the di...
Health Information Exchange China Humans Datasets as Topic Neural Networks, Computer Semantics Algorithms
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Entity recognition in Chinese clinical text using attention-based CNN-LSTM-CRF.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Clinical entity recognition as a fundamental task of clinical text processing has been attracted a great deal of attention during the last decade. However, most studies focus on clinical text in English rather than other languages. Recent...
Natural Language Processing Datasets as Topic Humans Algorithms Neural Networks, Computer Electronic Health Records China
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Extracting health-related causality from twitter messages using natural language processing.

BMC medical informatics and decision making Apr 4, 2019
BACKGROUND: Twitter messages (tweets) contain various types of topics in our daily life, which include health-related topics. Analysis of health-related tweets would help us understand health conditions and concerns encountered in our daily lives. In...
Stress, Psychological Causality Social Media Information Storage and Retrieval Humans Natural Language Processing Sleep Initiation and Maintenance Disorders Headache Text Messaging Datasets as Topic
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Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices.

Journal of diabetes science and technology Mar 31, 2019
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we demonstrated that a set of GV indices, extracted from continuous glucose monitoring (CGM) data, can distinguish between stages of diabetes progression. ...
Male Health Status Indicators Reproducibility of Results Middle Aged Aged Datasets as Topic Blood Glucose Adult Glucose Intolerance Humans Diabetes Mellitus, Type 2 Glycemic Control Predictive Value of Tests Algorithms Support Vector Machine Data Interpretation, Statistical Female Diagnosis, Differential Blood Glucose Self-Monitoring
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Artificial intelligence to diagnose meniscus tears on MRI.

Diagnostic and interventional imaging Mar 28, 2019
PURPOSE: The purpose of this study was to build and evaluate a high-performance algorithm to detect and characterize the presence of a meniscus tear on magnetic resonance imaging examination (MRI) of the knee.
Tibial Meniscus Injuries Humans Neural Networks, Computer Algorithms Magnetic Resonance Imaging Datasets as Topic
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Asynchronous event-based sampling data for impulsive protocol on consensus of non-linear multi-agent systems.

Neural networks : the official journal of the International Neural Network Society Mar 27, 2019
In this paper, we discuss the consensus problem of non-linear multi-agent systems where an impulsive protocol with event-based asynchronously sampled data is adopted. Systems that communicate by data asynchronously sampled in limited time intervals a...
Neural Networks, Computer Selection Bias Datasets as Topic
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Kidney cortex segmentation in 2D CT with U-Nets ensemble aggregation.

Diagnostic and interventional imaging Mar 27, 2019
PURPOSE: This work presents our contribution to one of the data challenges organized by the French Radiology Society during the Journées Francophones de Radiologie. This challenge consisted in segmenting the kidney cortex from coronal computed tomogr...
Kidney Cortex Algorithms Tomography, X-Ray Computed Datasets as Topic Humans Artificial Intelligence
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Diagnosis of focal liver lesions from ultrasound using deep learning.

Diagnostic and interventional imaging Mar 27, 2019
PURPOSE: The purpose of this study was to create an algorithm that simultaneously detects and characterizes (benign vs. malignant) focal liver lesion (FLL) using deep learning.
Humans Liver Neoplasms Liver Datasets as Topic Algorithms Deep Learning Ultrasonography
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Detection and characterization of MRI breast lesions using deep learning.

Diagnostic and interventional imaging Mar 26, 2019
PURPOSE: The purpose of this study was to assess the potential of a deep learning model to discriminate between benign and malignant breast lesions using magnetic resonance imaging (MRI) and characterize different histological subtypes of breast lesi...
Datasets as Topic Gadolinium Contrast Media Magnetic Resonance Imaging Breast Humans Algorithms Female Breast Neoplasms Deep Learning
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